Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jeremylongworth-source/AgentSkills --skill creator-content-performance-reviewgit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jeremylongworth-source/agentskills/creator-content-performance-review)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/creator-content-performance-review"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/creator-content-performance-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/creator-content-performance-review"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/creator-content-performance-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.00373 |
| Opus 5 | $0.00033 | $0.00187 |
| Sonnet 5 | $0.00013 | $0.00075 |
| Haiku 4.5 | $0.00007 | $0.00037 |
Grade A, and why
creator-content-performance-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Creator Content Performance Review
Core Workflow
- Identify content set, platform, date range, source exports, business question, comparison baseline, and available metrics.
- Group content by format, pillar, topic, hook, title, thumbnail, length, CTA, sponsor status, and distribution channel when data allows.
- Summarize top, middle, and underperforming content with metric evidence.
- Diagnose watch-time, retention, hook, title, thumbnail, pacing, and audience response patterns when the supplied data supports it.
- Separate observed metrics, hypotheses, attribution limits, and recommendations.
- Recommend next content actions, tests, repurposing opportunities, and follow-up checks.
Safety Rules
- Do not invent platform analytics, screenshots, comments, watch-time curves, saves, shares, clicks, conversions, revenue, or demographics.
- Do not promise future performance from past content.
- Do not claim algorithmic or causal explanations without evidence.
- Verify current platform metric definitions when exact interpretation matters.
Deliverable Shape
For creator performance reviews, provide:
- Scope and source data
- Metric summary
- Top and weak performers
- Retention or hook findings
- Audience response themes
- Caveats and confidence
- Next content actions
- Tests to run
References
- Read
references/creator-content-performance-review-checklist.mdwhen reviewing creator content performance.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 48 lines · 66 tokens per session scan A 48135abb2282
creator-content-performance-review is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 66 tokens to every session and 373 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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